Credit Risk Data Scientist II @Coastal Community Bank
Data and Analytics
Salary usd 130,146 - 1..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 3d ago

[Hiring] Credit Risk Data Scientist II @Coastal Community Bank

3d ago - Coastal Community Bank is hiring a remote Credit Risk Data Scientist II. 💸 Salary: usd 130,146 - 162,682 per year 📍Location: USA

Role Description

Responsible for managing and overseeing the development, validation, and performance of internal credit risk models for the CCBX consumer portfolios and providing oversight of CCBX Partner models. These models are critical for credit loss forecasting, credit decisioning, risk management, and regulatory compliance. The role requires technical expertise, strong analytical skills, and deep knowledge of credit risk modeling, data science, and regulatory requirements.

  • Proficiently oversees the development, validation, and performance monitoring of all credit risk models used for decision-making, risk management, or regulatory reporting.
  • Shows expert level proficiency in credit risk modeling & data science techniques (e.g., statistical, econometric, or machine learning methods) used for loss forecasting, credit decisioning, and other use cases.
  • Proficiency in statistical software and tools such as R, Python, SAS, SQL, or other modeling and data analysis platforms.
  • Has a strong business knowledge of consumer credit, including credit cards, personal loans, unsecured lending.
  • Manage the model governance framework, ensuring effective control processes for model development, production, and validation.
  • Strong understanding of CECL standard, stress testing methodologies, loss forecasting, and macroeconomic scenario analysis.
  • Analytical and problem-solving skills to assess model performance, conduct back testing, and make adjustments when necessary.
  • Has a strong working knowledge of data management, data integrity, and data quality issues related to model inputs and outputs.
  • Ability to develop and implement policies and procedures to monitor and validate credit risk models.
  • Strong communication and presentation skills to interact with internal and external stakeholders, including senior management, auditors, and regulators.
  • Ensure that credit modeling & data science activities align with the organization’s risk appetite and strategic goals.
  • Provides leadership during project planning, execution, reporting, and follow-up on any action plans.

Qualifications

  • Proven experience with credit risk modeling for EL (Expected Loss) using the PD (Probability of Default), LGD (Loss Given Default), and EAD (Exposure at Default) modeling framework.
  • Experience in modeling oversight, governance, or validation functions within banking, financial services, or consulting.
  • Deep expertise with machine learning, data science, and statistical techniques for developing credit loss forecasting models for stress testing, CECL, CCAR, and other use cases is required.
  • Experience with CECL process including modeling, implementation, and production of quantitative and qualitative components.
  • Familiarity with machine learning, data science, and statistical techniques for developing credit scorecards & origination credit underwriting is highly desirable.
  • Familiarity with Basel III, IFRS 9, CCAR, Dodd-Frank, and other regulatory frameworks for credit risk models.
  • Prior experience working with regulatory stress testing models (e.g., CCAR/DFAST) or impairment models (e.g., IFRS 9).

Requirements

  • Bachelor’s degree in quantitative finance, Economics, Statistics, Mathematics, Data Science, Computer Science, or a related field.
  • Master’s degree in a quantitative discipline (e.g., Financial Engineering, Data Science, Applied Mathematics) is preferred.
  • 7+ years of experience in credit risk modeling, model development, validation, or model risk management, and forecasting techniques.
  • Prior experience with Machine learning, data science, and statistical modeling.

Benefits

  • Medical Coverage: Choose from three competitive medical plans to find the coverage that best fits your needs and lifestyle.
  • Health Savings Account (HSA): Available with eligible medical plans, offering tax advantages and employer contributions.
  • Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses to help you save on out-of-pocket costs.
  • Dental and Vision Insurance: Plans to keep you and your family smiling and seeing clearly.
  • Life Insurance: Company-paid basic life insurance with options to purchase additional coverage for yourself and your dependents.
  • Long-Term /Short-Term Disability (LTD): Income protection in the event of a long-term illness or injury.
  • Supplemental Benefits: Including Hospital Indemnity, Accident Insurance, and Critical Illness coverage to provide extra financial support when you need it most.
  • 401(k) Retirement Plan: A competitive retirement savings plan with company matching to help you plan for the future.
  • Paid Time Off: Generous vacation and sick leave policies to support your time away from work.
  • Holidays: Enjoy 11 paid holidays throughout the year.
Before You Apply
🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Credit Risk Data Scientist II @Coastal Community Bank
Data and Analytics
Salary usd 130,146 - 1..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 3d ago
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🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply
Applied
Sent Follow-Up
Interview Scheduled
Interview Completed
Offer Accepted
Offer Declined
Application Denied
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